%%
%%acc  nmi purity
clear;
clc;
 dataName ={'BBC','RELATHE','PIE10P','COIL20','UMIST','BASEHOCK','Leukemia','ALLAML'}; 
indicator={'acc','nmi','purity'}  
candiAlgs = {'CTSC','Coreg', 'RMSC','RMKKM','MKKMMR','LKAMKC',...
         'ONMKC','LKGr','JMKSC','AMKKC'};
candiname = {'crsc','coreg', 'rmsc','rmkkm','mkkmmr','lkamkc',...
         'onmkc','lkgr','jmksc','amkkc'};
dataset={'Aggregated clustering results measured by Accuracy (%) of the compared methods',...
     'Aggregated clustering results measured by NMI (%) of the compared methods',...
     'Aggregated clustering results measured by Purity (%) of the compared methods.'}
dataResult= { 'bbcnewssport_737n_1000d_5c_uni_12k','RELATHE_1427n_4322d_2c_tfidf_uni_12k',...
    'warpPIE10P_210n_2420d_10c_12k','COIL20_1440n_1024d_20c_uni_12k',...
    'UMIST_575n_644d_20c_12k','BASEHOCK_1993n_4862d_2c_tfidf_uni_12k',...
     'leukemia_72n_7070d_2c_12k','ALLAML_72n_7129d_2c_12k',...   
};
 for i1=1:3
 result(candiAlgs, dataset{i1},dataName,dataResult,indicator{i1},candiname,i1);
 end
 
 